Skip to content


Subversion checkout URL

You can clone with HTTPS or Subversion.

Download ZIP
Caffe: a fast open framework for deep learning.

Merge pull request #1999 from boechat107/patch-2

Small fix (visualization) on SLICE layer's documentation
latest commit 4fba3daed3
Jon Long longjon authored
Failed to load latest commit information.
cmake Merge pull request #1923 from philkr/python3_master
data [example] image classification web demo
docs Small fix (visualization) on SLICE layer's documentation
examples Updated the path for to match what is found in the …
include/caffe [docs] add check mode hint to CPU-only mode error
matlab fixed matcaffe printout to specify num of args (now including train/t…
models Upgrade existing nets using upgrade_net_proto_text tool
python Merge pull request #1923 from philkr/python3_master
scripts fails silently with Python3 (which is the default on some…
src Decoding the datum before feeding it into the reshaping data layer
tools Repeal revert of #1878
.Doxyfile update doxygen config to stop warnings
.gitignore ignore pycharm files
.travis.yml [travis] run pytest
CMakeLists.txt Merge pull request #1923 from philkr/python3_master clarify the license and copyright terms of the project replace bundled install instructions with link to site
LICENSE clarify the license and copyright terms of the project
Makefile Merge pull request #1960 from gustavla/makefile_fix
Makefile.config.example add WITH_PYTHON_LAYER build option to include Python layer [docs] add gitter chat badge
caffe.cloc [fix] stop cloc complaint about cu type


Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and community contributors.

Check out the project site for all the details like

and step-by-step examples.

Join the chat at

Please join the caffe-users group or gitter chat to ask questions and talk about methods and models. Framework development discussions and thorough bug reports are collected on Issues.

Happy brewing!

License and Citation

Caffe is released under the BSD 2-Clause license. The BVLC reference models are released for unrestricted use.

Please cite Caffe in your publications if it helps your research:

  Author = {Jia, Yangqing and Shelhamer, Evan and Donahue, Jeff and Karayev, Sergey and Long, Jonathan and Girshick, Ross and Guadarrama, Sergio and Darrell, Trevor},
  Journal = {arXiv preprint arXiv:1408.5093},
  Title = {Caffe: Convolutional Architecture for Fast Feature Embedding},
  Year = {2014}
Something went wrong with that request. Please try again.